Photon-Memristive Device for Neuromorphic Computing

Yuqing Fang, Qingxuan Li, Tianyu Wang, Jialin Meng, Q. Sun, D. Zhang, Lin Chen
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Abstract

With the development of artificial intelligence technology, the usage of perception, storage and computing integrated devices for neuromorphic computing has become a research hotspot. We have successfully fabricated a photonmemristive device with optical sensing ability, which could simulate the synaptic behaviors in the human brain. The device could receive and respond to ultraviolet light, and realize synaptic functions, such as short-term plasticity, long-term potentiation and paired-pulse facilitation. In addition, it was able to be applied in the image identification field, the recognition rate could reach 92.2%. The device still had high stability and low operating current after light pulses excitation. The two-terminal photonic memristive unit is expected to be integrated into a 3D system and have broad application prospects in the field of artificial intelligence.
用于神经形态计算的光子记忆器件
随着人工智能技术的发展,利用感知、存储和计算集成设备进行神经形态计算已成为研究热点。我们成功地制作了一种具有光学传感能力的光记忆器件,可以模拟人脑中的突触行为。该装置能够接收和响应紫外光,实现突触短期可塑性、长期增强和成对脉冲促进等功能。此外,该方法还可以应用于图像识别领域,识别率可达92.2%。光脉冲激发后,器件仍具有较高的稳定性和较低的工作电流。双端光子记忆体单元有望集成到三维系统中,在人工智能领域具有广阔的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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